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- Aufgaben: Lead the development of Machine Learning solutions that drive business impact.
- Arbeitgeber: Join AUTO1 Group, Europe's top digital automotive platform revolutionizing the used car market.
- Mitarbeitervorteile: Work from home up to 5 days a week and enjoy an educational budget for continuous learning.
- Warum dieser Job: Be part of a dynamic team, contribute your ideas, and participate in exciting events like Hackathons.
- Gewünschte Qualifikationen: 2+ years in deep learning, proficiency in SQL/Python, and experience with cloud platforms preferred.
- Andere Informationen: We embrace diversity and welcome applicants from all backgrounds.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Company Description
We are seeking a technically skilled and passionate Senior Data Scientist to join our dynamic Data Science department at AUTO1 Group Technology. As part of our disruptive approach in the used car market, our team leverages cutting-edge technology to develop Machine Learning solutions that optimize our platforms and processes. AUTO1 Group is Europe’s leading digital automotive platform. We revolutionize the used car market with our well-known brands Autohero, wirkaufendeinauto.de, and AUTO1.com.
Your new Role
- Translate business needs into data science questions and take ownership of the research and development of Machine Learning solutions that bring positive business impact.
- Partner with engineering and product teams to deploy Data Science services and embed them in the Auto1 tech infrastructure.
- Monitor model performance in production, share results with stakeholders, and develop actionable next steps.
- Identify business opportunities and collaborate with stakeholders and partners in tech to drive growth.
- Set priorities and support junior members to achieve project goals.
Your Skills
- At least 2 years of hands-on experience working with deep learning/neural networks. Experience with recommender systems and PyTorch would be considered an advantage.
- Proficiency in SQL and Python for data manipulation, analysis, and modeling. Experience in AWS/Azure/Google Cloud would be considered an advantage.
- Proficiency in the full lifecycle of data science projects, including initializing/designing, developing (building the model), and deploying models in production (full stack).
- Advanced statistical and quantitative knowledge with commercial experience, preferably with academic experience in a quantitative research field.
- Demonstrated strong stakeholder interaction and visualization skills to effectively present findings in a clear and unambiguous way.
Our Offer
- Working from home: you can work from home up to 5 days a week.
- International teams.
- Educational budget to support your continuous learning and development.
- Personal growth with the contribution of own ideas.
- Exciting team events like Hackathons to foster collaboration and innovation.
- Discounts at Autohero, our platform for high-quality used cars.
Contact
Lina Antoniuk
At AUTO1 Group we live an open culture, believe in direct communication, and value diversity. We welcome every applicant; regardless of gender, ethnic origin, religion, age, sexual identity, disability, or any other non-merit factor.
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Senior Data Scientist (f/m/x) Arbeitgeber: Vendezvotrevoiture
Kontaktperson:
Vendezvotrevoiture HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Scientist (f/m/x)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as PyTorch and SQL. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any previous experience where you've successfully translated business needs into data science solutions. Be ready to discuss how your work positively impacted the business during the interview.
✨Tip Number 3
Prepare examples of how you've collaborated with engineering and product teams in the past. This will demonstrate your ability to work cross-functionally, which is crucial for this role.
✨Tip Number 4
Showcase your ability to monitor model performance and communicate findings effectively. Being able to present complex data insights in a clear manner is key to engaging stakeholders.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Scientist (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required skills, especially focusing on machine learning, deep learning, and data manipulation with SQL and Python.
Tailor Your CV: Customize your CV to highlight relevant experience in data science projects, particularly those involving deep learning and neural networks. Include specific examples of how you've translated business needs into data science solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your ability to collaborate with engineering and product teams. Mention any experience you have with cloud platforms like AWS or Azure, as well as your stakeholder interaction skills.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio where you demonstrate your work with machine learning models, especially those using PyTorch or recommender systems. This will provide tangible evidence of your skills and experience.
Wie du dich auf ein Vorstellungsgespräch bei Vendezvotrevoiture vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with deep learning and neural networks. Highlight specific projects where you've successfully implemented machine learning solutions, especially if they had a positive business impact.
✨Demonstrate Collaboration
Since the role involves partnering with engineering and product teams, share examples of how you've effectively collaborated in past projects. Emphasize your ability to communicate complex data science concepts to non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions related to SQL, Python, and cloud platforms like AWS or Azure. Brush up on your knowledge of recommender systems and be ready to discuss how you would approach model deployment and monitoring in production.
✨Highlight Your Problem-Solving Approach
Discuss how you translate business needs into data science questions. Provide examples of how you've identified business opportunities through data analysis and the actionable steps you took to drive growth.
